"One thing that we've been seeing recently is that inference benchmarks don't really match production workloads that well." - @realDanFu, VP of Kernels
Inference benchmarks may not accurately reflect real-world production workloads, according to Dan Fu, VP of Kernels at Together. This is particularly true when running numerous concurrent coding agents that require large context windows. Fu suggests that benchmarks should better align with these complex, high-demand operational scenarios. AI
IMPACT Highlights a potential disconnect between AI model evaluation and practical application, suggesting a need for more relevant benchmarks.